Review AI query history from an incident webhook
Turn an incident signal into a focused evidence pack with recent latency, token, and cost data.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Get query history
Tool to retrieve historic api usage logs including latency, token counts, costs, and source ip. use after authenticating to analyze past queries for cost management, performance monitoring, or auditing.
Why this helps
Incident reviews slow down when usage evidence must be gathered manually across systems.
- Gather usage evidence quickly
- Support faster incident triage
- Create a consistent review record
Setup
Build it in a few focused steps.
- 1Connect Apipie ai in Notis once and expose a Notis webhook trigger.
- 2Create an automation instructing Notis to retrieve query history for the incident window and summarize relevant signals.
- 3Pick the webhook trigger and choose a report destination.
- 4Send one test incident payload to verify the report.
Questions about this workflow
Can it analyze a specific time window?
Yes, include the incident window in the webhook payload or plain language instruction.
Does it change Apipie ai data?
No, this action retrieves history for analysis.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Google Tasks to Apipie ai. A trigger fires from one place; an action lands in another.
Google Tasks triggers
Apipie ai actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Connect any two apps with Notis in the middle.
Google Tasks and Apipie ai, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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